Research centre predicts disease progression with data

The Lee Kong Chian School of Medicine at NTU has launched a research centre that will leverage data analytics and artificial intelligence (AI) to develop “super algorithms” that predict and personalise treatment in areas such as mental health.

The Centre for Biomedical Informatics will use its expertise and state-of-the-art equipment to identify trends, patterns, and anomalies in data to derive insights that will help researchers and clinicians make better informed decisions, and possibly give rise to new discoveries and the development of powerful diagnostic and treatment methods for diseases.

The work at the Centre is in line with the National AI Strategy under Singapore’s Smart Nation initiatives to deepen the use of AI to transform Singapore’s economy. One of key area outlined in the strategy is in healthcare, where chronic disease prediction and management could help with faster detection and treatment of such diseases.

Among the Centre’s projects is an ongoing collaboration with the Institute of Mental Health (IMH) and the Auckland University of Technology (AUT) to better understand and predict disease progression of mental health conditions in youths using data analytics and AI techniques.

The Centre is also working with IMH to develop algorithms that predict whether patients are at risk of developing psychosis and other mental disorders based on their speech patterns.

/Public Release. This material from the originating organization/author(s) may be of a point-in-time nature, edited for clarity, style and length. The views and opinions expressed are those of the author(s).View in full here.